Complexity, Planning and Urbanism (CPU) develops new theoretical approaches and computational tools using a complexity science framework (systems, self-organisation, emergence, intelligence, structural change, adaptation) for the design, management, governance and understanding of future cities related to climate change, citizen participation, development strategies, resilient interventions, policy making and urban morphology. Computational methods are used to expand the realms of static design methods and theory by enabling a temporal and dynamic process.
Research activity is essential to the development of new approaches. Our research is transdisciplinary and currently spans Future Cities, Smart Cities, the Internet of Things, agile governance and cities as complex adaptive systems.